List of usage examples for org.apache.mahout.cf.taste.hadoop.item UserVectorSplitterMapper DEFAULT_MAX_PREFS_PER_USER_CONSIDERED
int DEFAULT_MAX_PREFS_PER_USER_CONSIDERED
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From source file:hadoop.api.RecommenderJob.java
License:Apache License
/** * Get the args and set the Option/*from w w w .j a va 2 s.c o m*/ * * @param args Information about the input path, output path, booleanData, and similarity * @return Number of Recommendations * @throws IOException */ public int prepareRecommender(String[] args) throws IOException { addInputOption(); addOutputOption(); addOption("numRecommendations", "n", "Number of recommendations per user", String.valueOf(hadoop.api.AggregateAndRecommendReducer.DEFAULT_NUM_RECOMMENDATIONS)); addOption("usersFile", null, "File of users to recommend for", null); addOption("itemsFile", null, "File of items to recommend for", null); addOption("filterFile", "f", "File containing comma-separated userID,itemID pairs. Used to exclude the item from " + "the recommendations for that user (optional)", null); addOption("booleanData", "b", "Treat input as without pref values", Boolean.FALSE.toString()); addOption("maxPrefsPerUser", "mxp", "Maximum number of preferences considered per user in final recommendation phase", String.valueOf(UserVectorSplitterMapper.DEFAULT_MAX_PREFS_PER_USER_CONSIDERED)); addOption("minPrefsPerUser", "mp", "ignore users with less preferences than this in the similarity computation " + "(default: " + DEFAULT_MIN_PREFS_PER_USER + ')', String.valueOf(DEFAULT_MIN_PREFS_PER_USER)); addOption("maxSimilaritiesPerItem", "m", "Maximum number of similarities considered per item ", String.valueOf(DEFAULT_MAX_SIMILARITIES_PER_ITEM)); addOption("maxPrefsInItemSimilarity", "mpiis", "max number of preferences to consider per user or item in the " + "item similarity computation phase, users or items with more preferences will be sampled down (default: " + DEFAULT_MAX_PREFS + ')', String.valueOf(DEFAULT_MAX_PREFS)); addOption("similarityClassname", "s", "Name of distributed similarity measures class to instantiate, " + "alternatively use one of the predefined similarities (" + VectorSimilarityMeasures.list() + ')', true); addOption("threshold", "tr", "discard item pairs with a similarity value below this", false); addOption("outputPathForSimilarityMatrix", "opfsm", "write the item similarity matrix to this path (optional)", false); addOption("randomSeed", null, "use this seed for sampling", false); //addOption("outputType", "ot", "Output Type", "TextOutputFormat"); addFlag("sequencefileOutput", null, "write the output into a SequenceFile instead of a text file"); parsedArgs = parseArguments(args); if (parsedArgs == null) { return -1; } int numRecommendations = Integer.parseInt(getOption("numRecommendations")); Path explicitFilterPath = getTempPath("explicitFilterPath"); return numRecommendations; }